A Novel Heuristic Method for Application-Dependent Testing of a SRAM-Based FPGA Interconnect

This paper presents a new method for generating configurations for application-dependent testing of a SRAM-based FPGA interconnect. This method connects an activating input to multiple nets, thus generating activating test vectors for detecting stuck-at, open, and bridging faults. This arrangement p...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on computers 2013-01, Vol.62 (1), p.163-172
Hauptverfasser: Kumar, T. N., Lombardi, F.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents a new method for generating configurations for application-dependent testing of a SRAM-based FPGA interconnect. This method connects an activating input to multiple nets, thus generating activating test vectors for detecting stuck-at, open, and bridging faults. This arrangement permits a reduction in the number of redundant configurations, thus also achieving a reduction in test time for application-dependent testing at full fault coverage. As the underlying solution requires an exponential complexity, a heuristic algorithm that is polynomial and greedy in nature (based on sorting) is used for net selection in the configuration generation process. It is proved that this algorithm has an execution complexity of O(L 3 ) (where L is the number of LUTs in the design). The proposed method requires at most log 2 (M + 2) configurations (where M denotes the number of activating inputs) as Walsh coding is employed. Moreover, it is scalable with respect to LUT inputs. Extensive logic-based simulation results are provided for ISCAS89 sequential benchmark designs implemented on Xilinx Virtex4 FPGAs; these results shows that the proposed method achieves a considerable reduction in the number of test configurations compared with methods found in the technical literature (on average, a reduction of 49.5 percent).
ISSN:0018-9340
1557-9956
DOI:10.1109/TC.2011.247